Evidence map›Paper›PMID 32595697›Full record

ArticleFrontiers in genetics2020

Novel Insights Into Triple-Negative Breast Cancer Prognosis by Comprehensive Characterization of Aberrant Alternative Splicing.

Shasha Gong, Zhijian Song, David Spezia-Lindner, Feilong Meng, Tingting Ruan, Guangzhi Ying, Changhong Lai, Qianqian Wu, Yong Liang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Shasha GongInstitute of Cancer Research, Department of Basic Medicine, School of Medicine, Taizhou University, Taizhou, China.
Zhijian SongBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China.
David Spezia-LindnerSchool of Medicine, University of Texas Health San Antonio, San Antonio, TX, United States.
Feilong MengInstitute of Genetics, Zhejiang University, Hangzhou, China.
Tingting RuanInstitute of Cancer Research, Department of Basic Medicine, School of Medicine, Taizhou University, Taizhou, China.
Guangzhi YingInstitute of Cancer Research, Department of Basic Medicine, School of Medicine, Taizhou University, Taizhou, China.
Changhong LaiInstitute of Cancer Research, Department of Basic Medicine, School of Medicine, Taizhou University, Taizhou, China.
Qianqian WuInstitute of Cancer Research, Department of Basic Medicine, School of Medicine, Taizhou University, Taizhou, China.
Yong LiangInstitute of Cancer Research, Department of Basic Medicine, School of Medicine, Taizhou University, Taizhou, China.
Taizhou University · CNShanghai Jiao Tong University · CNThe University of Texas at San Antonio · USZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlternative splicing (AS) is important in the regulation of gene expression and aberrant AS is emerging as a major factor in the pathogenesis of human conditions, including cancer. Triple-negative breast cancer (TNBC) is the most challenging subtype of breast cancer with strong invasion, high rate of metastasis, and poor prognosis. Here we report a systematic profiling of aberrant AS in TNBC.

methodsThe percent spliced in (PSI) values for AS events in 151 TNBC patients were obtained from The Cancer Genome Atlas (TCGA) SpliceSeq database. Univariate Cox and stepwise Multivariate Cox regression analyses were conducted to find the best prognostic AS model. Splicing regulatory networks were constructed by prognosis-related spliceosome and aberrant AS events. Additionally, pathway enrichment and gene set enrichment analysis (GSEA) were further employed to reveal the significant pathways for prognosis-related AS genes. Finally, splicing regulatory networks were constructed via Spearman's rank correlation coefficients between prognosis-related AS events and splicing factor expressions.

resultsA total of 1,397 prognosis-associated AS events were identified in TNBC. The majority of the parent genes of prognostic AS events exhibited direct interactions to each other in the STRING gene network. Pathways of focal adhesion (

conclusionOur analysis of AS events in TNBC could not only contribute to elucidating the tumorigenesis mechanism of AS but also provide clues to uncovering underlying prognostic biomarkers and therapeutic targets for further study.

Indexed as

alternative splicingprognostic biomarkersplicing correlation networkThe Cancer Genome Atlastriple-negative breast cancer

Identifiers

PMID32595697
PMCPMC7302061
OpenAlexW3035416497

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.